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Diversity

Diversity in data sampling is crucial across various use cases, including search, recommendation systems, and more. Ensuring diverse samples means capturing a wide range of variations and perspectives, which leads to more robust, unbiased, and comprehensive models. In search use cases, for instance, diversity helps avoid redundancy, ensuring that users are exposed to a broader set of relevant information rather than repeated similar results.

Papers

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Showing 3751–3775 of 9051 papers

TitleStatusHype
Computational strategies for dissecting the high-dimensional complexity of adaptive immune repertoires—0
FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition—0
Exploring Diverse Sounds: Identifying Outliers in a Music Corpus—0
Computational models of learning and synaptic plasticity—0
A Simple Measure of Economic Complexity—0
Exploring Diverse Expressions for Paraphrase Generation—0
Computational historical linguistics and language diversity in South Asia—0
Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback—0
Exploring Data Augmentations on Self-/Semi-/Fully- Supervised Pre-trained Models—0
Computational historical linguistics and language diversity in South Asia—0
Exploring Critical Testing Scenarios for Decision-Making Policies: An LLM Approach—0
Exploring Context and Visual Pattern of Relationship for Scene Graph Generation—0
Flow Score Distillation for Diverse Text-to-3D Generation—0
Fluctuating growth rates link turnover and unevenness in species-rich communities—0
Exploring Attribute Variations in Style-based GANs using Diffusion Models—0
FMiFood: Multi-modal Contrastive Learning for Food Image Classification—0
Exploring and Exploiting Diversity for Image Segmentation—0
Focus Attention: Promoting Faithfulness and Diversity in Summarization—0
Focus-Consistent Multi-Level Aggregation for Compositional Zero-Shot Learning—0
Focusing Image Generation to Mitigate Spurious Correlations—0
Computational Eco-Systems for Handwritten Digits Recognition—0
A Simple Dual-decoder Model for Generating Response with Sentiment—0
A guide through a family of phylogenetic dissimilarity measures among sites—0
Font Identification in Historical Documents Using Active Learning—0
Active Learning for Deep Visual Tracking—0
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